World's Best Scientists 2026 revealed!
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Pieter Abbeel
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Computer Science
USA
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 155 27 26 16 15 578 114652

Pieter Abbeel publications per year

The chart shows the history of publications by Pieter Abbeel between 2002 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Pieter Abbeel published across 24 years, from 2002 to 2025, averaging 29.4 papers a year. Output peaked at 67 publications in 2021. 84 of the 706 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 2002 to 2025. Vertical axis: number of publications, 0 to 67. Peak 67 publications in 2021. 2002: 1 publication 2003: 1 publication 2004: 2 publications 2005: 5 publications 2006: 5 publications 2007: 2 publications 2008: 5 publications 2009: 4 publications 2010: 49 publications 2011: 9 publications 2012: 57 publications 2013: 13 publications 2014: 16 publications 2015: 40 publications 2016: 33 publications 2017: 56 publications 2018: 58 publications 2019: 52 publications 2020: 40 publications 2021: 67 publications 2022: 51 publications 2023: 56 publications 2024: 43 publications 2025: 41 publications
2002 2025

706 publications in total across all disciplines

View publications per year as a table
Pieter Abbeel: publications per year, 2002 to 2025
Year Publications
2002 1
2003 1
2004 2
2005 5
2006 5
2007 2
2008 5
2009 4
2010 49
2011 9
2012 57
2013 13
2014 16
2015 40
2016 33
2017 56
2018 58
2019 52
2020 40
2021 67
2022 51
2023 56
2024 43
2025 41
Total 706
Download as CSV

Pieter Abbeel publications per year - data summary

  • Pieter Abbeel, a Computer Science scholar from University of California, Berkeley, has 706 publications recorded across 24 years, from 2002 to 2025.
  • The oldest publication on record dates to 2002 and the most recent to 2025.
  • The most productive year is 2021, with 67 publications.
  • The least productive years with any output are 2002 and 2003, with 1 publication each.
  • The rate of publication averages 29.4 papers per year over the whole span, or 29.4 per year counting only the 24 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 258 publications, 37% of the career total.
  • Split into equal eras - 2002-2009: 25 publications (3.1 per year); 2010-2017: 273 publications (34.1 per year); 2018-2025: 408 publications (51.0 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Pieter Abbeel publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Pieter Abbeel sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 572–581 publications, is where this scientist sits. 32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32–41 publications 991+

This scientist: 578 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43 578
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Pieter Abbeel publication distribution in Computer Science in 2026 - data summary

  • The chart plots the publication count of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 97 ranges running from 32–41 to 991+ publications.
  • Pieter Abbeel, a Computer Science scholar from University of California, Berkeley, records 578 publications - the 96th percentile of the discipline.
  • 96% of ranked Computer Science scientists score the same or lower than Pieter Abbeel, and about 4% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Pieter Abbeel ranks above the median.
  • The most crowded range is 142–151 publications, holding 609 scientists (4% of the field).
  • 70% of the field sits in the lowest quarter of the value range (up to 272–281 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 991 publications or more, 100 scientists in all (<1% of the field).

Pieter Abbeel D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Pieter Abbeel sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 131+ D-Index, is where this scientist sits. 30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30–31 D-Index 131+

This scientist: 155 D-Index — 100th percentile

100% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98 155
Download as CSV

Pieter Abbeel D-index placement in Computer Science in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 52 ranges running from 30–31 to 131+ D-Index.
  • Pieter Abbeel, a Computer Science scholar from University of California, Berkeley, records 155 D-Index - the 100th percentile of the discipline.
  • 100% of ranked Computer Science scientists score the same or lower than Pieter Abbeel, and about 0% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Pieter Abbeel ranks above the median.
  • The most crowded range is 36–37 D-Index, holding 990 scientists (7% of the field).
  • 71% of the field sits in the lowest quarter of the value range (up to 54–55 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 131 D-Index or more, 98 scientists in all (<1% of the field).

Research.com Recognitions

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2023 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2018 - IEEE Fellow For contributions to apprenticeship and reinforcement learning for robotics and autonomous systems
  • 2011 - Hellman Fellow
  • 2011 - Fellow of Alfred P. Sloan Foundation

Overview

Pieter Abbeel is affiliated with the University of California, Berkeley in the United States. Their research primarily focuses on computer science, with extensive contributions to subfields including artificial intelligence, computer vision and pattern recognition, control and systems engineering, biomedical engineering, and electrical and electronic engineering.

Their work spans multiple main topics such as reinforcement learning in robotics, multimodal machine learning applications, domain adaptation and few-shot learning, robot manipulation and learning, human pose and action recognition, topic modeling, and adversarial robustness in machine learning.

Abbeel has authored numerous papers, including recent publications such as:

  • "Denoising Diffusion Probabilistic Models," 2020, arXiv (Cornell University)
  • "Decision Transformer: Reinforcement Learning via Sequence Modeling," 2021, arXiv (Cornell University)
  • "CURL: Contrastive Unsupervised Representations for Reinforcement Learning," 2020, arXiv (Cornell University)
  • "Zero-Shot Text-Guided Object Generation with Dream Fields," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "AMP," 2021, ACM Transactions on Graphics

Frequent coauthors collaborating with Abbeel include:

  • Kimin Lee
  • Sergey Levine
  • Lerrel Pinto
  • Stephen James
  • Younggyo Seo

The primary venues for Abbeel's publications are:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • ACM Transactions on Graphics

Abbeel has contributed to book publications, including one with Springer International Publishing titled "Algorithmic Foundations of Robotics XII," released in 2020.

The scientist has received several awards, such as being named an IEEE Fellow in 2018 for contributions to apprenticeship and reinforcement learning for robotics and autonomous systems. They were also recognized as a Hellman Fellow in 2011 and as a Fellow of the Alfred P. Sloan Foundation in 2011.

Best Publications

  • Model-agnostic meta-learning for fast adaptation of deep networks

    Chelsea Finn;Pieter Abbeel;Sergey Levine

  • Denoising Diffusion Probabilistic Models.

    Jonathan Ho;Ajay Jain;Pieter Abbeel

  • Trust Region Policy Optimization

    John Schulman;Sergey Levine;Pieter Abbeel;Michael Jordan

  • Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

    Tuomas Haarnoja;Aurick Zhou;Pieter Abbeel;Sergey Levine

  • InfoGAN: interpretable representation learning by information maximizing generative adversarial nets

    Xi Chen;Yan Duan;Rein Houthooft;John Schulman

  • Apprenticeship learning via inverse reinforcement learning

    Pieter Abbeel;Andrew Y. Ng

  • End-to-end training of deep visuomotor policies

    Sergey Levine;Chelsea Finn;Trevor Darrell;Pieter Abbeel

  • Domain randomization for transferring deep neural networks from simulation to the real world

    Josh Tobin;Rachel Fong;Alex Ray;Jonas Schneider

  • Trust Region Policy Optimization

    John Schulman;Sergey Levine;Philipp Moritz;Michael I. Jordan

  • High-Dimensional Continuous Control Using Generalized Advantage Estimation

    John Schulman;Philipp Moritz;Sergey Levine;Michael Jordan

  • Soft Actor-Critic Algorithms and Applications

    Tuomas Haarnoja;Aurick Zhou;Kristian Hartikainen;George Tucker

  • Sim-to-Real Transfer of Robotic Control with Dynamics Randomization

    Xue Bin Peng;Marcin Andrychowicz;Wojciech Zaremba;Pieter Abbeel

  • Benchmarking deep reinforcement learning for continuous control

    Yan Duan;Xi Chen;Rein Houthooft;John Schulman

  • Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

    Ryan Lowe;Yi Wu;Aviv Tamar;Jean Harb

  • Bottleneck Transformers for Visual Recognition

    Aravind Srinivas;Tsung-Yi Lin;Niki Parmar;Jonathon Shlens

  • A Survey of Research on Cloud Robotics and Automation

    Ben Kehoe;Sachin Patil;Pieter Abbeel;Ken Goldberg

  • A Simple Neural Attentive Meta-Learner

    Nikhil Mishra;Mostafa Rohaninejad;Xi Chen;Pieter Abbeel

  • Reinforcement learning with deep energy-based policies

    Tuomas Haarnoja;Haoran Tang;Pieter Abbeel;Sergey Levine

  • DeepMimic: example-guided deep reinforcement learning of physics-based character skills

    Xue Bin Peng;Pieter Abbeel;Sergey Levine;Michiel van de Panne

  • An Application of Reinforcement Learning to Aerobatic Helicopter Flight

    Pieter Abbeel;Adam Coates;Morgan Quigley;Andrew Y. Ng

  • Guided cost learning: deep inverse optimal control via policy optimization

    Chelsea Finn;Sergey Levine;Pieter Abbeel

  • RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning

    Yan Duan;John Schulman;Xi Chen;Peter L. Bartlett

Frequent Co-Authors

Sergey Levine
Sergey Levine University of California, Berkeley
Hugh Durrant-Whyte
Hugh Durrant-Whyte University of Sydney
Nicholas Roy
Nicholas Roy MIT
Ken Goldberg
Ken Goldberg University of California, Berkeley
Chelsea Finn
Chelsea Finn Stanford University
John Schulman
John Schulman OpenAI
Sachin Patil
Sachin Patil University of California, Berkeley
Aviv Tamar
Aviv Tamar Technion – Israel Institute of Technology
Andrew Y. Ng
Andrew Y. Ng Stanford University
Trevor Darrell
Trevor Darrell University of California, Berkeley

External Links

Wikipedia of Pieter Abbeel Personal website of Pieter Abbeel Google Scholar page

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Publications: 93

Dieter Fox

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Publications: 88

Nicolas Heess

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DeepMind (United Kingdom)

Publications: 75

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Stanford University

Publications: 63

Anca D. Dragan

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Publications: 57

Wolfram Burgard

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Publications: 55

Dinesh Manocha

Dinesh Manocha

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Publications: 55

Yoshua Bengio

Yoshua Bengio

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Publications: 54

Shimon Whiteson

Shimon Whiteson

University of Oxford

Publications: 52

Claire J. Tomlin

Claire J. Tomlin

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Publications: 51

Masayoshi Tomizuka

Masayoshi Tomizuka

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Publications: 50

Animesh Garg

Animesh Garg

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Publications: 49

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